Python for Beginners
What you'll learn
Learners will learn how to make different projects by using programming languages like Python, C/C++ and Data science using python by the end of course
Learners will develop the ability to think critical and analytical.
Utilize Technology to gained proficiency in using relevant tools and technologies within that field.
Course will equip learners with strong communication skills.
Requirements
There is no strict requirements. My aim is to make learning accessible and inclusive for beginners as well as those with more experience.
Curiosity and openness to learn.
Time Commitment
Description
SolidMaster2 is an intensive and hands-on course designed for experienced Python programmers who want to deepen their understanding and master advanced concepts in Python development. This course builds upon the fundamentals covered in SolidMaster1 or equivalent experience, focusing on advanced techniques, best practices, and industry-standard tools used in professional Python development. Solid understanding of basic Python programming concepts (variables, loops, functions, data types, etc.)Familiarity with object-oriented programming (OOP) concepts such as classes, objects, and inheritance.Proficiency in using Python IDEs or text editors and working with the command line.Experienced Python developers seeking to advance their skills and knowledge in Python programming.Software engineers, data scientists, and anyone working with Python who wants to master advanced topics and best practices.Duration: 8 weeks (32 hours total)Format: Interactive lectures, coding labs, assignments, and project work.Build upon your Python skills by creating web applications using the Flask framework, including routing, templates, forms, and database integration.By the end of SolidMaster2, you will have the skills and confidence to design and develop complex Python applications, understand advanced Python concepts, apply best practices in software development, and collaborate effectively in a professional programming environment. Feel free to adjust the specifics or add more details based on your course's curriculum and target audience!
Overview
Section 1: Introduction
Lecture 1 Introduction to Python, Environment setup, Basic I/O
Section 2: Conditional Branching control statement
Lecture 2 IF ELSE ELIF NESTED IF STATEMENTS
Section 3: Conditional looping control statement
Lecture 3 FOR LOOP, WHILE LOOP, BREAK, CONTINUE AND PASS STATEMENT.
Section 4: Functions
Lecture 4 FUNCTION ARGUMENTS
Lecture 5 FUNCTION RECURSION
Lecture 6 LAMBDA FUNCTION
Section 5: Data Structures
Lecture 7 STACK AND QUEUE
Section 6: Modules and Package
Lecture 8 USER PROGRAM AS MODULES AND PACKAGES.
Section 7: File operation and handling
Lecture 9 DIFFERENT TYPES OF FILES
Section 8: Errors and Exceptions Handling
Lecture 10 TRY, EXCEPT FINALLY
Section 9: Object Oriented Programming-Class
Lecture 11 OBJECT, INHERITANCE
Lecture 12 POLYMORPHISM AND FUCTION OVERRIDING
Lecture 13 ABSTRACTION
Lecture 14 ENCAPSULATION
Section 10: Threading
Lecture 15 MULTITREADING
Section 11: Graphical User Interface
Lecture 16 TEXTBOX, LISTBOX, BUTTON, MENU, CANVAS
Section 12: Comprehensions
Lecture 17 LIST AND DICTIONARY COMPREHENSION
My course is designed for individual who are eager to enhance their knowledge and skills in specific topic or subject area.
Screenshots

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